Notes
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- Steven Braun. “Supporting Research Impact Metrics in Academic Libraries: A Case Study.” Portal: Libraries and the Academy 17, no. 1 (2017): 111–127.
- Christopher R. Carpenter, David C. Cone, and Cathy C. Sarli. “Using Publication Metrics to Highlight Academic Productivity and Research Impact.” Academic Emergency Medicine 21, no. 10 (2014): 1160–1172. https://doi.org/10.1111/acem.12482
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- Michael Wolf, Martha Taimuty, Monal Patel and Jeffrey Meteyer. “The Dean’s Information Challenge: From Data to Dashboard.” Educause Review (2016). https://er.educause.edu/articles/2016/11/the-deans-information-challenge-from-data-to-dashboard (accessed November 28, 2016).
- Tom Cramer. “RIALTO: Research Intelligence at Stanford.” (paper presented at Coalition for Networked Information CNI Spring 2018 Meeting, San Diego CA April 13, 2018). https://www.cni.org/topics/ci/rialto-research-intelligenceat-stanford
- Antonio P. DeRosa (ed.). A practical guide for informationists: supporting research and clinical practice (Cambridge, MA: Chandos Publishing, imprint of Elsevier, 2018).
- Eric Phetteplace. “Effectively Visualizing Library Data.” Reference and User Services Quarterly 52, no. 2 (2012): 93–97.
- Hsuanwei Michelle Chen. “Information Visualization Meets Libraries” Library Technology Reports, Chapter 3 of Library Technology Reports, “Information Visualization.” Library Technology Reports 53, no. 3 (2017): 17–20.
- Hsuanwei Michelle Chen. “Real-World Uses for Information Visualization in Libraries.” Library Technology Reports, Chapter 4 of Library Technology Reports (vol. 53, no. 2), “Information Visualization.” Library Technology Reports 53, no. 3 (2017): 21–25.
- Jeremy Buhler, Rachel Lewellen, and Sarah Anne Murphy. “Tableau Unleashed: Visualizing Library Data.” Research Library Issues: A Report from ARL, CNI, and SPARC, no. 288 (2016): 21–36. http://publications.arl.org/rli288
- Sarah Anne Murphy. “Data Visualization and Rapid Analytics: Applying Tableau Desktop to Support Library Decision-Making.” Journal of Web Librarianship 7, no. 4 (2013): 465–476.
- Kristina Rose. “Data on demand: A model to support the routine use of quantitative data for decision-making in Access Services.” Journal of Access Services 14, no. 4 (2017): 171–187.
- Finch, J. L. and A. R. Flenner. “Using Data Visualization to Examine an Academic Library Collection.” College and Research Libraries 77, no. 6 (2016): 765–778.
- Mark Eaton. “Seeing Library Data: A Prototype Data Visualization Application for Librarians.” Journal of Web Librarianship 11, no. 1 (2017): 69–78.
- Sarah Anne Murphy. “How Data Visualization Supports Academic Library Assessment: Three Examples from The Ohio State University Libraries Using Tableau.” College & Research Libraries News 76, no. 9 (2015): 482–486.
- Barrie Hayes, Yi Hong, Andres Villaveces. “Information Visualization Services in a Library? A Public Health Case Study.” Bulletin of the American Society for Information Science & Technology 35, no. 5, (2009): 13–18
- Michelle Malizia Catalano, Porcia Vaughn & Joshua Been. “Using Maps to Promote Data-Driven Decision-Making: One Library’s Experience in Data Visualization Instruction”, Medical Reference Services Quarterly 36, no. 4, (2017): 415–422.
- Steven Braun. “Manifold: a Custom Analytics Platform to Visualize Research Impact.” The Code4Lib Journal 30, (2015). https://journal.code4lib.org/articles/10948